• DocumentCode
    37957
  • Title

    A parallel collaborative sphere decoder for a MIMO communication system

  • Author

    Jihun Koo ; Soo-Yong Kim ; Jaeseok Kim

  • Author_Institution
    Syst. LSI Bus., Samsung Electron., Yongin, South Korea
  • Volume
    16
  • Issue
    6
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    620
  • Lastpage
    626
  • Abstract
    In this paper, we propose a parallel collaborative sphere decoder with a scalable architecture promising quasi-maximum likelyhood performance with a relatively small amount of computational resources. This design offers a hardware-friendly algorithm using a modified node operation through fixing the variable complexity of the critical path caused by the sequential nature of the conventional sphere decoder (SD). It also reduces the computational complexity compared to the fixed-complexity sphere decoder (FSD) algorithm by tree pruning using collaboratively operated node operators. A Monte Carlo simulation shows that our proposed design can be implemented using only half the parallel operators compared to the approach using an ideal fully parallel scheme such as FSD, with only about a 7% increase of the normalized decoding time for MIMO dimensions of 16×16 with 16-QAM modulation.
  • Keywords
    MIMO communication; Monte Carlo methods; maximum likelihood decoding; quadrature amplitude modulation; 16-QAM modulation; FSD algorithm; MIMO communication system; Monte Carlo simulation; computational resources; critical path; fixed-complexity sphere decoder algorithm; hardware-friendly algorithm; modified node operation; parallel collaborative sphere decoder; parallel operators; quasimaximum likelyhood performance; variable complexity; Computational complexity; MIMO; Maximum likelihood decoding; Resource management; Vectors; Fixed-complexity sphere decoder (FSD); Schnorr-Euchner (SE) sphere decoder; multiple-input multiple-output (MIMO); sphere decoder (SD); wireless communication;
  • fLanguage
    English
  • Journal_Title
    Communications and Networks, Journal of
  • Publisher
    ieee
  • ISSN
    1229-2370
  • Type

    jour

  • DOI
    10.1109/JCN.2014.000108
  • Filename
    7023290